Connectors

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My Hours

Data replication

Sync My Hours data anywhere.

My Hours was launched back in 2002 and it is a cloud-based time-tracking solution best suited for small teams and freelancers. Since then My Hours has been rewritten twice to meet the growing demands and it is a product of Spica, a company headquartered in Ljubljana with 100+ employees. The users of My Hours can start time tracking on unlimited projects and tasks in seconds which easily generates insightful reports and create invoices.

  • Standard
  • Alpha
  • 5 streams
Sync My Hours dataRead the docs
My Hours

One connector

Everything My Hours can do in Airbyte

  • Sync to your warehouse

    Land 5 My Hours tables in 50+ destinations on a schedule you control.

  • One authorization

    Authenticate My Hours once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the My Hours connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync My Hours

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version0.3.46
  • Release stageAlpha

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncNot supported
  • Destinations50+ Airbyte connectors

Set up in 7 steps

  1. First, navigate to the My Hours source connector page on Airbyte.com.
  2. Click on the "Setup" button to begin configuring the connector.
  3. Enter your My Hours API key in the "API Key" field. You can find your API key by logging into your My Hours account and navigating to the "API" section of the settings.
  4. Next, enter your My Hours email address in the "Email" field.
  5. In the "Workspace ID" field, enter the ID of the workspace you want to connect to Airbyte. You can find this ID by navigating to the workspace in My Hours and looking at the URL. The ID will be the number at the end of the URL.
  6. Finally, click on the "Test" button to ensure that the connection is working properly. If the test is successful, click on the "Save" button to save your credentials and complete the setup process.
  7. You can now use the My Hours source connector to extract data from your My Hours workspace and integrate it with other tools and platforms through Airbyte.

5 streams

Every table you can sync from My Hours

  • Time logs

  • Clients

  • Projects

  • Team members

  • Tags

Authentication

Authenticate My Hours once

  • Password

    The password associated to the username

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Common questions

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ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

My Hours' API provides access to a variety of data related to time tracking and project management. The following are the categories of data that can be accessed through the API:

1. Time tracking data: This includes information about the time spent on tasks, projects, and clients. It includes start and end times, duration, and any notes or comments associated with the time entry.
2. Project data: This includes information about the projects being worked on, such as project name, description, status, and associated tasks.
3. Task data: This includes information about the individual tasks within a project, such as task name, description, status, and associated time entries.
4. Client data: This includes information about the clients being worked with, such as client name, contact information, and associated projects.
5. User data: This includes information about the users of the My Hours platform, such as user name, email address, and associated time entries, projects, and tasks.

Overall, the My Hours API provides a comprehensive set of data that can be used to analyze and optimize time tracking and project management processes.

1. First, navigate to the My Hours source connector page on Airbyte.com.
2. Click on the "Setup" button to begin configuring the connector.
3. Enter your My Hours API key in the "API Key" field. You can find your API key by logging into your My Hours account and navigating to the "API" section of the settings.
4. Next, enter your My Hours email address in the "Email" field.
5. In the "Workspace ID" field, enter the ID of the workspace you want to connect to Airbyte. You can find this ID by navigating to the workspace in My Hours and looking at the URL. The ID will be the number at the end of the URL.
6. Finally, click on the "Test" button to ensure that the connection is working properly. If the test is successful, click on the "Save" button to save your credentials and complete the setup process.
7. You can now use the My Hours source connector to extract data from your My Hours workspace and integrate it with other tools and platforms through Airbyte.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving My Hours data today

Free for 14 days on Airbyte Cloud. Set up the My Hours connector once and let Airbyte keep it in sync.

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